This work proposes a physical layer impairment-aware routing, modulation, spectrum, and core allo... more This work proposes a physical layer impairment-aware routing, modulation, spectrum, and core allocation optimization framework in elastic optical networks with multi-core fibers. The inter- and intra-core impairments considered are crosstalk between adjacent cores, in-band crosstalk, non-linear interference, and amplified spontaneous emission noise. Further, bit loading is used in the proposed framework, independently modulating each demand’s frequency slots, depending on each frequency slot’s interference level. An optimization framework is initially developed for benchmarking purposes, followed by a heuristic algorithm and demand ordering technique for larger-sized networks. For both optimization and heuristic approaches, an end-to-end acceptable bit error rate is ensured for each provisioned demand. The benefits of the proposed approach are illustrated through simulations, demonstrating that they achieve lower fragmentation and less spectrum usage as compared to other state-of-th...
Deep-quantile regression is leveraged to capture traffic prediction uncertainty over future netwo... more Deep-quantile regression is leveraged to capture traffic prediction uncertainty over future network planning intervals. We show that quantile predictions, acting as discriminative margins, result to significant spectrum savings compared to empirically estimated myopic margins considered.
2020 International Conference on Unmanned Aircraft Systems (ICUAS), 2020
Unmanned Aircraft Systems (UASs) are techno-logically advancing at such a rapid pace that domain ... more Unmanned Aircraft Systems (UASs) are techno-logically advancing at such a rapid pace that domain experts are now highly concerned of the potential misuse of the technology that can be used for unlawful actions with detrimental effects. The most effective measure to counteract the operation of rogue drones are electronic anti-drone systems that in one way or another intercept the normal operation of a rogue agent. In this work we develop an intelligent pursuer drone that implements novel lightweight functions to meet all necessary interception steps (i.e., detection, tracking and interception) in addition to self-localizing using signals of opportunity in order to maintain perception when performing wireless jamming against a rogue drone.
This work proposes a physical layer impairment-aware routing, modulation, spectrum, and core allo... more This work proposes a physical layer impairment-aware routing, modulation, spectrum, and core allocation optimization framework in elastic optical networks with multi-core fibers. The inter- and intra-core impairments considered are crosstalk between adjacent cores, in-band crosstalk, non-linear interference, and amplified spontaneous emission noise. Further, bit loading is used in the proposed framework, independently modulating each demand’s frequency slots, depending on each frequency slot’s interference level. An optimization framework is initially developed for benchmarking purposes, followed by a heuristic algorithm and demand ordering technique for larger-sized networks. For both optimization and heuristic approaches, an end-to-end acceptable bit error rate is ensured for each provisioned demand. The benefits of the proposed approach are illustrated through simulations, demonstrating that they achieve lower fragmentation and less spectrum usage as compared to other state-of-th...
Deep-quantile regression is leveraged to capture traffic prediction uncertainty over future netwo... more Deep-quantile regression is leveraged to capture traffic prediction uncertainty over future network planning intervals. We show that quantile predictions, acting as discriminative margins, result to significant spectrum savings compared to empirically estimated myopic margins considered.
2020 International Conference on Unmanned Aircraft Systems (ICUAS), 2020
Unmanned Aircraft Systems (UASs) are techno-logically advancing at such a rapid pace that domain ... more Unmanned Aircraft Systems (UASs) are techno-logically advancing at such a rapid pace that domain experts are now highly concerned of the potential misuse of the technology that can be used for unlawful actions with detrimental effects. The most effective measure to counteract the operation of rogue drones are electronic anti-drone systems that in one way or another intercept the normal operation of a rogue agent. In this work we develop an intelligent pursuer drone that implements novel lightweight functions to meet all necessary interception steps (i.e., detection, tracking and interception) in addition to self-localizing using signals of opportunity in order to maintain perception when performing wireless jamming against a rogue drone.
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Papers by georgios ellinas